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"I've seen the Sudan, traveled in South and Central America and been all over Europe, but I've never seen what I've been able to see on this tour [of the Loess Plateau, China]." -Ed Skidmore, soil scientist, Wind Erosion Research Unit of the Agricultural Research Service, USDA, Manhattan, Kansas Overpopulation is at the core of most environmental problems. The impacts of continued growth-with world population reaching 6 billion in October 1999-are felt in most parts of the world. China, the most populous nation, illustrates many of the pivotal problems-and solutions. Although China faces the same effects of overpopulation as the rest of the world, it still feeds over a billion people on a ti...
Lung cancer is still one of the most common malignancies with a high global mortality rate with over 2 million cases confirmed by the World Health Organization in 2018. Although there has been progress in diagnosing and treating lung cancer, patients still have poor prognosis with a 5-year survival rate typically from 4-17% which is dependent on the stage of the cancer and regional differences. The majority of lung cancer patients are at the advanced stages of the disease at the time of their diagnosis and therefore, have less chances of early treatment that could have improved their survival rate. Therefore, early detection of lung cancer remains imperative to improve the prognosis.
This book focuses on improving orthopaedic surgery in low and middle-income countries (LMIC). Over the last 35 years, orthopaedic surgeons have made multiple innovations locally in Pakistan that have never come to the surface. Many surgeons in our world work in a resource-constrained setting and have to use frugal innovations to work their way out. These are the ground realities of working in a LMIC, which will be shared globally through this book. Starting from seeing patients in the clinic and to the operating room, very high standards have been set in Pakistan for others to follow and replicate within their own resources. This book will be a narrative of how these innovations were achieved and the way forward considering the resource constraints that are present in low-middle-income countries compared to Western countries.
This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.